ComfyUI Node: FishSpeech Inference

FishSpeech Inference:

FishSpeech_INFER is a sophisticated node designed to facilitate the generation of high-quality audio outputs from given text and audio inputs. This node leverages advanced machine learning models to process and transform input data, ensuring that the resulting audio is both natural and coherent. The primary goal of FishSpeech_INFER is to provide a seamless and efficient way to convert textual descriptions and reference audio into synthesized speech, making it an invaluable tool for AI artists looking to create realistic voiceovers or audio content. By utilizing state-of-the-art techniques in audio processing and synthesis, FishSpeech_INFER ensures that the generated audio maintains high fidelity and clarity, enhancing the overall user experience.

FishSpeech Inference Input Parameters:

audio

The audio parameter represents the input audio data that will be used as a reference for generating the output speech. This parameter is crucial as it provides the baseline audio characteristics that the model will use to ensure the synthesized speech matches the desired tone and style. The audio should be in a compatible format and of sufficient quality to ensure accurate processing. There are no specific minimum or maximum values, but higher quality audio will yield better results.

audio_lengths

The audio_lengths parameter indicates the length of the input audio data. This parameter helps the model understand the duration of the audio, which is essential for accurate processing and synthesis. The length should correspond to the actual duration of the audio file provided.

gt_specs

The gt_specs parameter stands for ground truth spectrograms, which are used as a reference for the synthesis process. These spectrograms provide a visual representation of the audio frequencies over time, aiding the model in generating accurate and high-quality speech. The spectrograms should be derived from the input audio to ensure consistency.

gt_spec_lengths

The gt_spec_lengths parameter indicates the length of the ground truth spectrograms. This parameter is necessary for the model to correctly interpret the spectrogram data and align it with the input audio and text. The length should match the duration of the corresponding audio.

text

The text parameter represents the textual input that will be converted into speech. This text serves as the content for the synthesized audio, and it should be clear and well-structured to ensure accurate and coherent speech generation. There are no specific restrictions on the text length, but longer texts may require more processing time.

text_lengths

The text_lengths parameter indicates the length of the input text. This parameter helps the model understand the amount of text to be processed and ensures that the generated speech matches the length of the input text. The length should correspond to the actual number of characters or words in the text.

noise_scale

The noise_scale parameter controls the amount of noise added during the synthesis process. This parameter can be adjusted to fine-tune the naturalness and variability of the generated speech. The default value is 0.5, but it can be adjusted within a range to achieve the desired effect. Lower values result in more stable and less varied speech, while higher values introduce more variability and naturalness.

FishSpeech Inference Output Parameters:

infer_audio

The infer_audio parameter represents the generated audio output from the FishSpeech_INFER node. This audio file is the result of processing the input text and reference audio, and it is synthesized to match the desired characteristics and content. The output audio is typically in WAV format and can be used directly for various applications, such as voiceovers, audio content creation, and more. The quality and coherence of the output audio depend on the input parameters and the model's processing capabilities.

FishSpeech Inference Usage Tips:

• Ensure that the input audio is of high quality and free from background noise to achieve the best results.
• Adjust the noise_scale parameter to fine-tune the naturalness of the generated speech. Experiment with different values to find the optimal setting for your specific use case.
• Provide clear and well-structured text input to ensure accurate and coherent speech synthesis.
• Use consistent and well-aligned ground truth spectrograms to improve the accuracy and quality of the generated audio.

FishSpeech Inference Common Errors and Solutions:

"Input audio length mismatch"

• Explanation: This error occurs when the length of the input audio does not match the expected length based on the provided audio_lengths parameter.
• Solution: Ensure that the audio_lengths parameter accurately reflects the duration of the input audio file. Verify that the audio file is complete and not truncated.

"Invalid text input"

• Explanation: This error occurs when the input text is not provided or is in an incorrect format.
• Solution: Ensure that the text parameter contains valid and well-structured text. Check for any special characters or formatting issues that may cause the text to be misinterpreted.

"Ground truth spectrogram length mismatch"

• Explanation: This error occurs when the length of the ground truth spectrograms does not match the expected length based on the provided gt_spec_lengths parameter.
• Solution: Verify that the gt_spec_lengths parameter accurately reflects the duration of the ground truth spectrograms. Ensure that the spectrograms are correctly derived from the input audio.

"Model inference failure"

• Explanation: This error occurs when the model fails to generate the output audio due to internal processing issues.
• Solution: Check the input parameters for any inconsistencies or errors. Ensure that all required inputs are provided and correctly formatted. If the issue persists, consider re-running the process or restarting the application.